Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

The Hugging Face course on Transformers

preprocessing and feature extraction for ds0000201

Extending from the existing graph convolution networks, our approach incorporates a clustering-based embedding and graph isomorphism network method in the graph convolutional layer to reflect natur…

This is a web-based email service developed as the final project for my Advanced Programming course at Amirkabir University of Technology.

CNS (Computational Neuroscience) Lab project for age/sex classification of fMRI scans

NMA Computational Neuroscience course

Benchmarking GNNs for fMRI analysis

Awesome graph neural networks for brain network learning. Collections of related research papers with implementations, commonly used datasets and tools. We also invite researchers interested in bra…

GRE Sample writing by ETS with scores >= 5

Google's Operations Research tools:

COIN-OR Branch-and-Cut solver

A python Linear Programming API

Latex code for making neural networks diagrams

Graph Debiased Contrastive Learning with Joint Representation Clustering

This is a repository of public data sources for Recommender Systems (RS).

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback

[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"

The PyTorch implementation of LightGCN

Neural Graph Collaborative Filtering, SIGIR2019

Implementation of ComE algorithm

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

RSTutorials: A Curated List of Must-read Papers on Recommender System.

Code for the paper "Unsupervised Community Detection with Modularity-based Attention Model"

Simple and efficient -- a novel unsupervised community detection with the fusion of modularity and network structure

CDBNE